Case studies · Now booking 30-day pilots

Outcomes are published here when they exist.

No published case studies yet. We won't fake them. The page below shows how our numbers are worked out and the standard a real published case study will be held to.

Last updated 2026-10-28 · Pilot status: now booking

A pilot scorecard layout on cream paper, gold-foil column headers and ink-stroke row data: the format each pilot will be measured by.

01 · Why we won't fake them

Once upon a time, every clinic-owner site you visited had twelve logos in a row, four made-up percentages, and a testimonial from “Dr. Ahmed” with no last name and no licence number. The reader either was fooled, in which case the agency did not want them as a client anyway, or wasn't, in which case the site lost the credibility it was built to project.

The agency landscape in the GCC has been particularly cavalier about this. Logos lifted without permission. Screenshots that do not survive a 30-second reverse image search. AI-composite before/afters that fall under the DHA Standard ST-21 v1.1 anti-misleading clause. A clinic owner who reads ten of these in a row stops trusting any of them. The whole category is poorer for it.

We won't play. We will not list a logo we have not earned. We will not publish a percentage we cannot show the math for. The visible cost of that policy is a thin case-studies page in 2026. The compounding benefit is a case-studies page that is worth reading in 2027.

02 · Methodology illustrations

The two walk-throughs below are illustrative, not actual client outcomes. Numbers come from the disclosed methodology, not from real engagements. The label is the load-bearing element on this page.

[ILLUSTRATIVE - based on disclosed math, not a real client outcome]

How we'd handle a Dubai dental clinic with a 14% no-show rate and a 2-hour median response time.

01
Week 1 - instrument the leak. Mystery-inquiry test. Front-desk shadowing. AED 340 math rebuilt for this clinic with their actual CPL and booked rates.
02
Week 2 - front desk live on WhatsApp, web chat and Instagram, in English and Arabic. Missed calls get a text back with a booking link. Promise in writing: first response under 60 seconds, day and night.
03
Week 4 - day-30 review. Booked patients by source from the weekly digest. No-show rate measured against baseline. The clinic picks a plan or walks.
04
Week 12 - quarterly review. Math republished. Month to month, with a 30-day exit.

Read the underlying math

[ILLUSTRATIVE - based on disclosed math, not a real client outcome]

How we'd handle an Abu Dhabi IVF centre with patient enquiries arriving at 9pm and consult expectations by lunchtime the next day.

01
Week 1 - front-desk replies reviewed for Khaleeji-Arabic dialect coverage and consent wording against DoH guidance. Faheem leads the engineering review.
02
Week 2 - hand-off protocol agreed in writing with the medical director. The front desk may confirm slots; it may not discuss clinical questions. A human takes over inside 15 minutes in clinic hours.
03
Week 4 - response-time SLA reviewed. After-hours replies measured separately from business hours.
04
Week 12 - revenue per booked consult tracked alongside cycle conversion rate. Methodology disclosed.

Read the underlying math

03 · Cross-industry analogs

The two narratives below are real, sourced and labelled. They are not GCC clinic case studies. They are evidence the operational hypothesis behind our work has held outside GCC clinics. We will not pass an analog off as our own.

[ANALOG - not a GCC clinic, similar mechanism]

What happened when a US dental group cut response time from 8 hours to 5 minutes.

The original studies showed a roughly 80% increase in qualified-lead conversion when first contact happened inside 5 minutes versus first contact inside an hour. The 2023 Drift State of Conversational Marketing reported a 47-hour median B2B response time, with only 7% of companies responding within 5 minutes. The mechanism is intact. The execution is rare.

Source · InsideSales / MIT 2007 (Oldroyd) and HBR 2011, both [HISTORICAL]; revalidated in Drift 2023.

[ANALOG - not a GCC clinic, similar mechanism]

22 bookings in 22 days at one dental practice.

The mechanism is shared: answer every enquiry fast, book it into the calendar, trace each booking to its source. That work ran outside the UAE. The discipline carries over to GCC clinics.

Source · From our work with practices outside the UAE.

04 · Our case-study standard

The standard a published case study will meet.

We are publishing this standard before we have any case studies to apply it to. That is deliberate. Hold us to it. Hold every other agency to it too.

Real client name, with written permission

Anonymised case studies are placeholders. A published study will name the clinic, with the medical director's written sign-off on file.

Named period, beginning and end dates

“Last quarter” means nothing. Every metric will sit between two dates. The bad weeks stay in the table.

Channel-by-channel ad spend disclosure

Meta, Google, Snap, TikTok where relevant. Aggregate spend hides the leak. We will publish the breakdown.

Attribution method, written out

Last-click, multi-touch, or a documented hybrid. The method is named. The limitations are named with it.

Response-time SLA performance, week by week

What we promised. What we hit. What we missed. The misses make the document credible.

No-show rate change, with the baseline

A no-show rate is meaningless without the rate it improved from. Baseline disclosed. Movement disclosed.

Signed statement from the clinic owner

Two paragraphs in the owner's words. Reviewed by the medical director. Hand-signed.

Start a 30-day pilot. Be in the next case study.

If you run a pilot, you choose whether your name is published. The work happens either way. The entry standard is set against the published math, not against a salesperson's mood.

Apply for the pilot Discuss the case-study standard